Training in progress epoch 1

README.md

@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.6043
-- Train Accuracy: 0.7502
-- Validation Loss: 0.5449
-- Validation Accuracy: 0.7756
-- Epoch: 0
+- Train Loss: 0.4868
+- Train Accuracy: 0.8044
+- Validation Loss: 0.5104
+- Validation Accuracy: 0.7807
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 0.6043     | 0.7502         | 0.5449          | 0.7756              | 0     |
+| 0.4868     | 0.8044         | 0.5104          | 0.7807              | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:96f309f234600f4c2d8daaf1c2f39a42374cf9a24fc43e7b7a6dd40c3a1fdd49
 size 1112473408